Method and device for detecting stored-grain insects based on near infrared super-spectral imaging technology

Abstract

The invention relates to a method and a device for detecting stored-grain insects. A near infrared super-spectral imaging device for automatically acquiring grain screen underflows consists of five parts including a light box, a lighting unit, a displacement unit, a spectral imaging unit and a computer, wherein the spectral imaging unit comprises an indium-gallium-arsenic near infrared camera, animaging spectrometer and a near infrared lens. The method for detecting stored-grain insects comprises the following steps of extracting the wavelength of an optimal spectrum synchronously containingdata cube of both of live insect and dead insect, and determining the number of the live insects in stored-grain insects and the coordinate information of each live insect in the image; extracting sub-area of the image in which the live insects in the stored-grain insects are located, determining species information of the live insects in the stored-grain insects by identification software according to the near infrared spectrum characteristics of the live insects in the stored-grain insects, and realizing the automatic detection of the stored-grain insects.

Description

technical field [0001] The invention relates to a detection method for storage pests, in particular to a detection method for storage pests based on near-infrared hyperspectral imaging technology. Background technique [0002] my country is the largest grain production, storage and consumption country in the world, and doing a good job in grain storage is a major issue related to the national economy and the people's livelihood. The grain weight loss after harvesting in the world is about 10-15%, and at least 5% of the grain during the annual storage is spoiled by pests. The loss rate of my country's treasury grain reserves is about 0.2%, which is a remarkable achievement. However, the price paid for this is also huge, especially the extensive use of pesticides. In order to ensure the safe storage of grain, stored grain must be fumigated with pesticides at least once a year, and in many places, fumigated twice or even more, which not only increases expenses, but also pollu...

AI Technical Summary

Problems solved by technology

Qiu Daoyin, Zhang Hongtao and others have developed an online intelligent detection system for grain insects for 9 types of grain insects. At present, the system can count and automatically classify grain insects in real time, but it cannot effectively distinguish between dead insects and live insects.

[0006] The computer vision method can realize the automatic classification of grain insects, which is the development direction of grain insect detection. However, the current computer vision system can classify and identify up to 9 types of grain insects, and cannot distinguish the "dead" and "alive" of grain insects. Unable to overcome the "fake death" problem, and the types of identification need to be further increased

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